Personne
Thanh Trung Huynh
Publications associées (11)
Modelling and solving a real-world truck-trailer scheduling problem in container transportation with separate moving objects
Thanh Trung Huynh, Van Son Nguyen
Container transportation is pivotal in global supply chains, facilitating the exchange of goods between companies across different countries. Given the exceedingly high operational costs of transporting containers, optimizing itinerary schedules can yield ...
New Delhi2024Network Alignment With Holistic Embeddings
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong
Network alignment is the task of identifying topologically and semantically similar nodes across (two) different networks. It plays an important role in various applications ranging from social network analysis to bioinformatic network interactions. Howeve ...
IEEE COMPUTER SOC2023Validating functional redundancy with mixed generative adversarial networks
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Trung-Dung Hoang
Data redundancy has been one of the most important problems in data-intensive applications such as data mining and machine learning. Removing data redundancy brings many benefits in efficient data updating, effective data storage, and error-free query proc ...
ELSEVIER2023Scalable maximal subgraph mining with backbone-preserving graph convolutions
Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên
Maximal subgraph mining is increasingly important in various domains, including bioinformatics, genomics, and chemistry, as it helps identify common characteristics among a set of graphs and enables their classification into different categories. Existing ...
ELSEVIER SCIENCE INC2023Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên
The task of discovering equivalent entities in knowledge graphs (KGs), so-called KG entity alignment, has drawn much attention to overcome the incompleteness problem of KGs. The majority of existing techniques learns the pointwise representations of entiti ...
London2023Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding
Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong
The heterogeneity of today's Web sources requires information retrieval (IR) systems to handle multi-modal queries. Such queries define a user's information needs by different data modalities, such as keywords, hashtags, user profiles, and other media. Rec ...
IEEE COMPUTER SOC2022Network Alignment with Holistic Embeddings (Extended Abstract)
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên
Network alignment is the task of identifying topologically and semantically similar nodes across (two) different networks. However, existing alignment models either cannot handle large-scale graphs or fail to leverage different types of network information ...
IEEE COMPUTER SOC2022User Guidance for Efficient Fact Checking
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên
The Web constitutes a valuable source of information. In recent years, it fostered the construction of large-scale knowledge bases, such as Freebase, YAGO, and DBpedia. The open nature of the Web, with content potentially being generated by everyone, howev ...
ASSOC COMPUTING MACHINERY2019Maximal fusion of facts on the web with credibility guarantee
Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên
The Web became the central medium for valuable sources of information fusion applications. However, such user-generated resources are often plagued by inaccuracies and misinformation as a result of the inherent openness and uncertainty of the Web. While fi ...
ELSEVIER SCIENCE BV2019Network Alignment by Representation Learning on Structure and Attribute
Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong
Network alignment is the task of recognizing similar network nodes across different networks, which has many applications in various domains. As traditional network alignment methods based on matrix factorization do not scale to large graphs, a variety of ...
SPRINGER INTERNATIONAL PUBLISHING AG2019